2 papers
physics.chem-ph2025
Physics-informed machine learning for combustion: A review
Jiahao Wu, Xutun Wang, Guihua Zhang +7
Physics-informed machine learning (PIML) represents an emerging paradigm that integrates various forms of physical knowledge into machine learning (ML) components, thereby enhancin…
physics.flu-dyn2024
Physics-informed Shadowgraph Network: An End-to-end Density Field Reconstruction Method
Xutun Wang, Yuchen Zhang, Zidong Li +2
This study presents a novel approach for quantificationally reconstructing density fields from shadowgraph images using physics-informed neural networks